concurrency
>
system-design
System design, software architecture, API design, cybersecurity, and threat modeling. Build secure, scalable systems.
devrel-communication
Effective communication strategies for developer audiences across channels
go-fundamentals
Core Go programming concepts - syntax, types, interfaces, error handling
docker-multi-stage
Multi-stage builds for optimized, minimal production images with build/runtime separation
graphql-fundamentals
Master GraphQL core concepts - types, queries, mutations, and subscriptions
aws-iam-setup
Configure AWS IAM users, roles, policies, and identity federation
complexity-analysis
Analyze algorithm complexity, understand Big O notation, computability theory, NP-completeness, and computational limits.
advanced-topics
Explore advanced CS topics including advanced data structures, parallel computing, security, functional programming, and quantum computing.
forms
HTML5 forms, Constraint Validation API, accessible form patterns, and modern input types
docker-compose-setup
Set up multi-container applications with Docker Compose including services, networks, and volumes
data-visualization
Master data visualization principles including chart selection, dashboard design, color theory, and data storytelling
cpp-basics
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agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
debugging
>
fundamentals
TypeScript type system fundamentals and basic typing patterns
security-practices
Master secure development, OWASP top 10, testing, and compliance. Use when building secure systems, conducting security reviews, or implementing best practices.
testing
TypeScript testing strategies and type-safe test practices
tooling
TypeScript tooling, configuration, and build optimization
devops-fullstack
DevOps for fullstack - Docker, CI/CD, deployment, monitoring
frontend-development
Frontend development - React, Vue, component architecture, state management
rust-performance
Master Rust performance - profiling, benchmarking, and optimization
vector-databases
Vector database selection, indexing strategies, and semantic search optimization.
bi-fundamentals
Master Business Intelligence fundamentals including KPI design, metrics frameworks, data literacy, and analytical thinking
ai-agent-basics
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
scaling-patterns
Enterprise scaling patterns for microservices, event-driven architecture, and distributed systems
process-management
Production-grade process management - jobs, signals, cron, systemd
forms-implementation
Build reactive and template-driven forms, implement custom validators, create async validators, add cross-field validation, and generate dynamic forms for Angular applications.
http-client
Angular HttpClient for API communication, interceptors, and error handling
modern-angular-implementation
Implement Angular 18+ features: Signals, standalone components, @defer blocks, SSR, zoneless change detection, new control flow syntax, and Material 3 integration.
performance
Angular performance optimization, change detection strategies, and bundle optimization
routing-performance-implementation
Configure routing with lazy loading, implement route guards, set up preloading strategies, optimize change detection, analyze bundles, and implement performance optimizations.
rxjs-implementation
Implement RxJS observables, apply operators, fix memory leaks with unsubscribe patterns, handle errors, create subjects, and build reactive data pipelines in Angular applications.
state-implementation
Implement NgRx store with actions and reducers, build selectors, create effects for async operations, configure entity adapters, and integrate HTTP APIs with state management.
testing-deployment-implementation
Write unit tests for components and services, implement E2E tests with Cypress, set up test mocks, optimize production builds, configure CI/CD pipelines, and deploy to production platforms.
fullstack-basics
Full-stack development fundamentals - architecture, patterns, integration
agent-design
AI agent design and tool-use prompting patterns
few-shot-prompting
Example-based prompting techniques for in-context learning
fine-tuning
LLM fine-tuning and prompt-tuning techniques
prompt-design
Core prompt design patterns and templates for effective LLM communication
feature-stores
Master feature stores - Feast, data validation, versioning, online/offline serving
ml-infrastructure
Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization
async-programming
Master Rust async/await with Tokio
api-documentation
Production-grade skill for API documentation creation including OpenAPI/Swagger specifications, REST endpoint documentation, authentication flows, and error handling guides.
architecture-decisions
Make and document architecture decisions using structured frameworks
cloud-architecture
Design cloud-native architectures with service selection and cost optimization
experiment-tracking
Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility
testing
API testing strategies and contract testing
data-structures
Master JavaScript objects and arrays including manipulation methods, prototypal inheritance, and complex data structure patterns.
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